Before you begin reading this guide, we recommend you run Elasticsearch Error Check-Up which can resolve issues that cause many errors.
This guide will help you check for common problems that cause the log ” Dangling index exists on local file system; but not in cluster metadata; ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: cluster, dangling, discovery-file, index and indices.
Advanced users might want to skip right to the common problems section in each concept or try running the Check-Up to analyze Elasticsearch configuration and help resolve this error.
Log Context
Log “[{}] dangling index exists on local file system; but not in cluster metadata;” classname is DanglingIndicesState.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
} else if (graveyard.containsIndex(indexMetaData.getIndex())) {
logger.warn("[{}] can not be imported as a dangling index; as an index with the same name and UUID exist in the " +
"index tombstones. This situation is likely caused by copying over the data directory for an index " +
"that was previously deleted."; indexMetaData.getIndex());
} else {
logger.info("[{}] dangling index exists on local file system; but not in cluster metadata; " +
"auto import to cluster state"; indexMetaData.getIndex());
newIndices.put(indexMetaData.getIndex(); indexMetaData);
}
}
return newIndices;
